Premier Google Cloud Partner | Evonence

Gemini Assessment Workshops: Stop Guessing Your AI ROI.

The greatest risk in Generative AI isn't the technology—it's building the wrong thing. Our executive-led discovery workshops identify Shadow AI, audit your data readiness, and isolate high-impact Gemini use cases that drive verifiable cost reduction.

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The Evonence Assessment Methodology

A rigorous, consulting-led approach to move your enterprise from GenAI hype to a secure, actionable Google Cloud deployment plan.

Phase 01

Discovery & Shadow IT Audit

We analyze your current network and workflows to understand how employees are utilizing unsanctioned AI, identifying immediate security vulnerabilities.

  • Toolchain vulnerability scanning.
  • Data leakage risk assessment.
  • Departmental stakeholder interviews.
Phase 02

Use-Case Prioritization Matrix

Not all AI use cases are created equal. We map your operational bottlenecks against Gemini's capabilities to find the fastest path to ROI.

  • Complexity vs. Impact scoring.
  • BigQuery data readiness checks.
  • Document ingestion mapping (RAG).
Phase 03

TCO & Financial Modeling

We present a transparent financial model comparing the total cost of native Vertex AI consolidation versus fragmented 3rd-party LLM licensing.

  • Vertex AI compute/token estimations.
  • Headcount productivity savings.
  • Cloud infrastructure optimization.
Phase 04

Blueprint & Execution Plan

Transition from planning to building. We architect the Google Cloud foundation required to support your custom Gemini deployment securely.

  • Zero Trust & VPC-SC definitions.
  • Minimum Viable Product (MVP) scope.
  • 90-Day execution timeline.

Tangible Executive Deliverables

Our workshops do not end with a generic slide deck. As your Premier Partner, Evonence equips your C-Suite with the technical blueprints and financial models required to secure board approval and confidently deploy AI.

Request Sample Deliverables

The Prioritization Matrix

A comprehensive audit report ranking your internal processes based on GenAI automation viability and expected cost reduction.

GCP Architecture Blueprint

A high-level network topology diagram detailing Vertex AI integrations, Vector Search flow, and Zero Trust security boundaries.

TCO Projection Model

A detailed financial forecast estimating Vertex AI API usage costs, infrastructure spend, and projected human-hours saved.

The 90-Day MVP Roadmap

A step-by-step project timeline mapping the exact engineering sprints required to deploy your first secure Gemini use-case.